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Language-guided robots performing home and office tasks must navigate in and interact with the world.
Word and object
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SQuAD: 100,000+ questions for machine comprehension of text
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Learning multi-modal grounded linguistic semantics by playing “I spy”
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Google’s neural machine translation system: Bridging the gap between human and machine translation
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AllenNLP: A deep semantic natural language processing platform
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Iqa: Visual question answering in interactive environments
Daniel Gordon, Aniruddha Kembhavi, Mohammad Rastegari, Joseph Redmon, Dieter Fox, and Ali Farhadi. 2017 · 2017
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Mask R-CNN
Kaiming He, Georgia Gkioxari, Piotr Dollár, and Ross B. Girshick. 2017 · 2017
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AI2-THOR: An Interactive 3D Environment for Visual AI
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Decoupled weight decay regularization
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Attention is all you need
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Łukasz Kaiser, and Illia Polosukhin. 2017 · 2017
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Mapping navigation instructions to continuous control actions with position visitation prediction
Valts Blukis, Dipendra Misra, Ross A. Knepper, and Yoav Artzi. 2018 · 2018
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Language to action: Towards interactive task learning with physical agents
Joyce Y. Chai, Qiaozi Gao, Lanbo She, Shaohua Yang, Sari Saba-Sadiya, and Guangyue Xu. 2018 · 2018
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Talk the walk: Navigating new york city through grounded dialogue
Harm de Vries, Kurt Shuster, Dhruv Batra, Devi Parikh, Jason Weston, and Douwe Kiela. 2018 · 2018
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Feature-wise transformations
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Speaker-follower models for vision-and-language navigation
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Wikihow: A large scale text summarization dataset
Mahnaz Koupaee and William Yang Wang. 2018 · 2018
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Virtualhome: Simulating household activities via programs
Xavier Puig, Kevin Ra, Marko Boben, Jiaman Li, Tingwu Wang, Sanja Fidler, and Antonio Torralba. 2018 · 2018
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Learning to map natural language instructions to physical quadcopter control using simulated flight
Valts Blukis, Yannick Terme, Eyvind Niklasson, Ross A. Knepper, and Yoav Artzi. 2019 · 2019
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Transformer-xl: Attentive language models beyond a fixed-length context
Zihang Dai, Zhilin Yang, Yiming Yang, Jaime G Carbonell, Quoc Le, and Ruslan Salakhutdinov. 2019 · 2019
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Oscar: Object-semantics aligned pre-training for vision-language tasks
Xiujun Li, Xi Yin, Chunyuan Li, Xiaowei Hu, Pengchuan Zhang, Lei Zhang, Lijuan Wang, Houdong Hu, Li Dong, Furu Wei, Yejin Choi, and Jianfeng Gao. 2020 · 2020
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Improving vision-and-language navigation with image-text pairs from the web
Arjun Majumdar, Ayush Shrivastava, Stefan Lee, Peter Anderson, Devi Parikh, and Dhruv Batra. 2020 · 2020
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ALFRED: A Benchmark for Interpreting Grounded Instructions for Everyday Tasks
Mohit Shridhar, Jesse Thomason, Daniel Gordon, Yonatan Bisk, Winson Han, Roozbeh Mottaghi, Luke Zettlemoyer, and Dieter Fox. 2020 · 2020
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MOCA: A modular object-centric approach for interactive instruction following
Kunal Pratap Singh, Suvaansh Bhambri, Byeonghwi Kim, Roozbeh Mottaghi, and Jonghyun Choi. 2020 · 2020
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Imagining grounded conceptual representations from perceptual information in situated guessing games
Alessandro Suglia, Antonio Vergari, Ioannis Konstas, Yonatan Bisk, Emanuele Bastianelli, Andrea Vanzo, and Oliver Lemon. 2020 · 2020
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Kuan Fang, Alexander Toshev, Li Fei-Fei, and Silvio Savarese. 2019 · 2019
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David Harwath, Adrià Recasens, Dídac Surís, Galen Chuang, Antonio Torralba, and James Glass. 2019 · 2019
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Robots that use language
Stefanie Tellex, Nakul Gopalan, Hadas Kress-Gazit, and Cynthia Matuszek. 2020 · 2020
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Jointly improving parsing and perception for natural language commands through human-robot dialog
Jesse Thomason, Aishwarya Padmakumar, Jivko Sinapov, Nick Walker, Yuqian Jiang, Harel Yedidsion, Justin Hart, Peter Stone, and Raymond J. Mooney. 2020 · 2020
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Unified vision-language pre-training for image captioning and vqa
Luowei Zhou, Hamid Palangi, Lei Zhang, Houdong Hu, Jason Corso, and Jianfeng Gao. 2020 · 2020
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